This document provides instructions for graphing trigonometric transformations in 3 steps: 1) Determine the a, b, c, and d values from the function's factored form. 2) Draw the median position and amplitude. 3) Determine the period and mark points to graph the wave-like function. Examples graph y=3sin(2x)-1, f(x)=sin(1/2x+1), and f(x)=2cos(3x)-2.
The document discusses exponential functions of the form f(x) = a^x where a is a constant. It provides examples of exponential functions with a = 2 and a = 1/2. It describes the domain, range, and common point of exponential functions. The document also discusses transformations of exponential functions by adding or subtracting constants, and provides examples of sketching and describing transformed exponential functions. Finally, it lists common exponential expressions.
The document discusses how to identify tangent lines and find derivatives using limits. It defines the slope of a tangent line as the rate of change of a graph at a given point. To calculate slope, it uses the limit of the difference quotient as the change in x (Δx) approaches 0. This defines the derivative as the slope of the tangent line. It provides an example of finding the derivative of f(x)=x^2 at the point (2,4) using this limit process.
Benginning Calculus Lecture notes 14 - areas & volumesbasyirstar
This document discusses using definite integrals to calculate areas and volumes. It introduces two methods for finding volumes: the disk method, which slices a solid into thin disks, and the shell method, which slices into thin cylindrical shells. Examples are provided for finding the volume of a sphere using both methods and calculating the area between two curves.
Possible applications of low-rank tensors in statistics and UQ (my talk in Bo...Alexander Litvinenko
Just some ideas how low-rank matrices/tensors can be useful in spatial and environmental statistics, where one usually has to deal with very large data
Digitla Communication pulse shaping filtermirfanjum
This document contains the Matlab code for a homework assignment on digital communication systems. It includes 4 problems: 1) designing a root raised cosine filter, 2) transmitting BPSK symbols through the filter, 3) transmitting through a composite filter, and 4) comparing the BER of BPSK and 4-QAM modulation. Figures 1-4 show the results. The appendix provides the Matlab code to generate the simulations.
Mathematics (from Greek μάθημα máthēma, “knowledge, study, learning”) is the study of topics such as quantity (numbers), structure, space, and change. There is a range of views among mathematicians and philosophers as to the exact scope and definition of mathematics
The document discusses the t distribution and F distribution. It provides graphs of their probability density functions and examples of simulating random values from each distribution. It also shows how to calculate a t-statistic and F-ratio from sample data and compares the results to the theoretical distributions.
This document provides instructions for graphing trigonometric transformations in 3 steps: 1) Determine the a, b, c, and d values from the function's factored form. 2) Draw the median position and amplitude. 3) Determine the period and mark points to graph the wave-like function. Examples graph y=3sin(2x)-1, f(x)=sin(1/2x+1), and f(x)=2cos(3x)-2.
The document discusses exponential functions of the form f(x) = a^x where a is a constant. It provides examples of exponential functions with a = 2 and a = 1/2. It describes the domain, range, and common point of exponential functions. The document also discusses transformations of exponential functions by adding or subtracting constants, and provides examples of sketching and describing transformed exponential functions. Finally, it lists common exponential expressions.
The document discusses how to identify tangent lines and find derivatives using limits. It defines the slope of a tangent line as the rate of change of a graph at a given point. To calculate slope, it uses the limit of the difference quotient as the change in x (Δx) approaches 0. This defines the derivative as the slope of the tangent line. It provides an example of finding the derivative of f(x)=x^2 at the point (2,4) using this limit process.
Benginning Calculus Lecture notes 14 - areas & volumesbasyirstar
This document discusses using definite integrals to calculate areas and volumes. It introduces two methods for finding volumes: the disk method, which slices a solid into thin disks, and the shell method, which slices into thin cylindrical shells. Examples are provided for finding the volume of a sphere using both methods and calculating the area between two curves.
Possible applications of low-rank tensors in statistics and UQ (my talk in Bo...Alexander Litvinenko
Just some ideas how low-rank matrices/tensors can be useful in spatial and environmental statistics, where one usually has to deal with very large data
Digitla Communication pulse shaping filtermirfanjum
This document contains the Matlab code for a homework assignment on digital communication systems. It includes 4 problems: 1) designing a root raised cosine filter, 2) transmitting BPSK symbols through the filter, 3) transmitting through a composite filter, and 4) comparing the BER of BPSK and 4-QAM modulation. Figures 1-4 show the results. The appendix provides the Matlab code to generate the simulations.
Mathematics (from Greek μάθημα máthēma, “knowledge, study, learning”) is the study of topics such as quantity (numbers), structure, space, and change. There is a range of views among mathematicians and philosophers as to the exact scope and definition of mathematics
The document discusses the t distribution and F distribution. It provides graphs of their probability density functions and examples of simulating random values from each distribution. It also shows how to calculate a t-statistic and F-ratio from sample data and compares the results to the theoretical distributions.
This document contains data on the diameters of 60 objects measured in centimeters. It shows the raw data sorted in ascending order, the frequency of each diameter measurement, and calculates various statistics. It then determines the number of class intervals should be 6, and calculates the class interval width as 4 centimeters. It presents the data in a frequency distribution table with the class boundaries and relative frequencies.
This document contains notes from a calculus class covering topics including: implicit differentiation, related rates, linear approximations, maximum and minimum values, the mean value theorem, limits at infinity, and curve sketching. Example problems are provided for each topic to demonstrate key concepts and techniques.
This document discusses the second derivative and how it relates to graphing functions. The second derivative can be used to find possible points of inflection and determine concavity. A point of inflection is where the concavity of a graph changes from concave up to concave down or vice versa. To find points of inflection, take the second derivative and set it equal to zero. If the second derivative is greater than zero, the graph is concave up, and if it is less than zero, the graph is concave down. Several examples are provided to illustrate these concepts.
- Khan Academy is due this Saturday for the 2nd week of the 3rd quarter. There is no school on Monday. Turn in all classwork today.
- A live stream of an asteroid flyby can be viewed Saturday morning at 9:00 AM by clicking a link from the blog.
- Your phone has more processing power than the computers used for the three Apollo moon landings and over 400 times the storage capacity of computers in 1989, which would be worth over $1.3 million today.
The trapezoidal method splits the area under a curve into trapezoids, calculates the area of each trapezoid, and sums the individual areas to approximate the total area under the curve, which represents the definite integral. It uses the formula: Integral = (h/2) * (y0 + 2*y1 + 2*y2 + ... + 2*yn-1 + yn), where h is the width of each interval between the x-values x0, x1, etc., and y0, y1, etc. are the corresponding y-values of the function. Simpson's 1/3 Rule similarly divides the interval into sub-intervals, but approximates each using a quadratic curve
The Delta Of An Arithmetic Asian Option Via The Pathwise MethodAnna Borisova
In the slides present a structured description of the methods that can be used to calculate the delta for an asian option. Only European options are considered. The reference list has added as the last slide. Enjoy the presentation!
Line drawing algorithm and antialiasing techniquesAnkit Garg
The document discusses computer graphics and line drawing algorithms. Module 1 covers introduction to graphics hardware, display devices, and graphics software. Module 2 discusses output primitives like lines, circles, ellipses, and clipping algorithms like Cohen-Sutherland and Sutherland-Hodgeman. It then explains the Digital Differential Algorithm (DDA) and Bresenham's line drawing algorithms for scan converting lines. DDA calculates increments in the x or y direction based on the slope. Bresenham's uses only integer calculations. Both algorithms are demonstrated with examples. The document also discusses anti-aliasing techniques like supersampling and area sampling to reduce jagged edges.
This document discusses using calculus to find maximum and minimum values. It provides examples of finding critical points and values to determine optimal solutions for area and surface area problems. For the area problem, the minimum occurs at half the length with equal squares. For the surface area of a box problem, the least surface area occurs when the length is twice the height. The document demonstrates using differentiation and implicit differentiation to solve these types of applied optimization problems.
Numerical integration approximates definite integrals using weighted sums of function values at discretized points. Common integration rules include the rectangular rule, which uses rectangles of width Δx; the trapezoidal rule, which uses trapezoids; and Simpson's rule, which uses a quadratic polynomial to achieve higher accuracy. The document provides examples applying these rules to calculate the integral of f(x)=x^3 from 1 to 2, demonstrating that Simpson's rule provides a perfect estimation while the other rules have some error.
4 figure grid references are used to precisely locate places on maps divided into squares. The first two numbers indicate the easting and represent the column, while the last two numbers indicate the northing and represent the row. For example, the grid reference 1335 would be read as column 13, row 35.
Parametric equations describe the location of a point (x,y) on a graph or path as functions of a single independent variable t, often representing time. They allow complicated motions to be modeled more easily than a single function. Examples are given of using parametric equations to describe motions like a roller coaster path or interacting rabbit and fox populations. Key concepts covered include graphing parametric equations, combining separate horizontal and vertical motions into a single parametric description, and describing linked motions like a carnival ride.
Benginning Calculus Lecture notes 11 - related ratesbasyirstar
This document contains lecture slides on related rates from the Department of Mathematics at FSMT - UPSI. It begins with the learning outcome of solving problems in related rates. Then, it provides two examples - one involving a police radar gun calculating a driver's speed, and another involving calculating the rate of rise of water in a conical tank being filled. Both examples demonstrate setting up and solving related rates problems using differentiation.
This document discusses trigonometric functions such as sine, cosine, and tangent. It defines periodic functions as having repeating patterns, with the period being the length of one full pattern. For sine waves, the period is 2. The amplitude is the maximum vertical deviation from the central axis. Graphs of sine, cosine, and tangent are examined over various domains and their characteristics such as zeroes and asymptotes are explored.
The document discusses trigonometric functions such as sine, cosine, and tangent. It defines periodic functions as having repeating patterns, with the period being the length of one full pattern. For sine waves, the period is 2. The amplitude is the maximum vertical deviation from the central axis. Graphs of sine, cosine, and tangent are examined over various domains and their characteristics such as zeros, domains, ranges, and asymptotes are discussed.
Line Drawing Algorithms - Computer Graphics - NotesOmprakash Chauhan
Straight-line drawing algorithms are based on incremental methods.
In incremental method line starts with a straight point, then some fix incrementable is added to current point to get next point on the line and the same has continued all the end of the line.
The document discusses how to determine if a function is increasing or decreasing based on the sign of its derivative, and provides an example of finding the intervals where a function is increasing or decreasing. It also discusses how to find and classify critical points of a function by taking the derivative, setting it equal to 0, and using the first derivative test to determine if the critical points are local maxima or minima.
The document discusses several common algorithms for computer graphics rendering including Bresenham's line drawing algorithm, the midpoint circle algorithm, and scanline polygon filling. Bresenham's algorithm uses only integer calculations to efficiently draw lines. The midpoint circle algorithm incrementally chooses pixel coordinates to draw circles with eightfold symmetry and without floating point operations. Scanline polygon filling determines the edge intersections on each scanline and fills pixels between interior intersections.
This document discusses various operations on signals using MATLAB coding. It includes summaries of operations such as generating continuous and discrete signals like square waves, triangular waves, time shifting signals, time reversal, using the linearity property, checking for causality and stability, separating signals into even and odd components, multiplying two signals, and generating exponential and sinusoidal discrete signals. MATLAB code is provided for examples of each of these signal operations.
Super-resolution reconstruction is a method for reconstructing higher resolution images from a set of low resolution observations. The sub-pixel differences among different observations of the same scene allow to create higher resolution images with better quality. In the last thirty years, many methods for creating high resolution images have been proposed. However, hardware implementations of such methods are limited. Wiener filter design is one of the techniques we will use initially for this process. Wiener filter design involves matrix inversion. A novel method for the matrix inversion has been proposed in the report. QR decomposition will be the computational algorithm used using Givens Rotation.
Neural network basic and introduction of Deep learningTapas Majumdar
Deep learning tools and techniques can be used to build convolutional neural networks (CNNs). Neural networks learn from observational training data by automatically inferring rules to solve problems. Neural networks use multiple hidden layers of artificial neurons to process input data and produce output. Techniques like backpropagation, cross-entropy cost functions, softmax activations, and regularization help neural networks learn more effectively and avoid issues like overfitting.
A deep learning model using convolutional neural networks is proposed for lithography hotspot detection. The model takes layout clip images as input and outputs a prediction of hotspot or non-hotspot. It uses several convolutional and pooling layers to automatically learn features from the images without manual feature engineering. Evaluation shows the deep learning model achieves higher accuracy than previous shallow learning methods that rely on manually designed features.
Scan conversion algorithms convert graphical primitives defined in terms of coordinates into pixels on a raster display. The midpoint line algorithm uses integer calculations to scan convert lines of varying slopes. Area primitives like rectangles are filled by iterating through pixels within the boundary. Anti-aliasing aims to reduce jagged edges by weighting pixel intensities based on overlap with graphical elements.
This document contains data on the diameters of 60 objects measured in centimeters. It shows the raw data sorted in ascending order, the frequency of each diameter measurement, and calculates various statistics. It then determines the number of class intervals should be 6, and calculates the class interval width as 4 centimeters. It presents the data in a frequency distribution table with the class boundaries and relative frequencies.
This document contains notes from a calculus class covering topics including: implicit differentiation, related rates, linear approximations, maximum and minimum values, the mean value theorem, limits at infinity, and curve sketching. Example problems are provided for each topic to demonstrate key concepts and techniques.
This document discusses the second derivative and how it relates to graphing functions. The second derivative can be used to find possible points of inflection and determine concavity. A point of inflection is where the concavity of a graph changes from concave up to concave down or vice versa. To find points of inflection, take the second derivative and set it equal to zero. If the second derivative is greater than zero, the graph is concave up, and if it is less than zero, the graph is concave down. Several examples are provided to illustrate these concepts.
- Khan Academy is due this Saturday for the 2nd week of the 3rd quarter. There is no school on Monday. Turn in all classwork today.
- A live stream of an asteroid flyby can be viewed Saturday morning at 9:00 AM by clicking a link from the blog.
- Your phone has more processing power than the computers used for the three Apollo moon landings and over 400 times the storage capacity of computers in 1989, which would be worth over $1.3 million today.
The trapezoidal method splits the area under a curve into trapezoids, calculates the area of each trapezoid, and sums the individual areas to approximate the total area under the curve, which represents the definite integral. It uses the formula: Integral = (h/2) * (y0 + 2*y1 + 2*y2 + ... + 2*yn-1 + yn), where h is the width of each interval between the x-values x0, x1, etc., and y0, y1, etc. are the corresponding y-values of the function. Simpson's 1/3 Rule similarly divides the interval into sub-intervals, but approximates each using a quadratic curve
The Delta Of An Arithmetic Asian Option Via The Pathwise MethodAnna Borisova
In the slides present a structured description of the methods that can be used to calculate the delta for an asian option. Only European options are considered. The reference list has added as the last slide. Enjoy the presentation!
Line drawing algorithm and antialiasing techniquesAnkit Garg
The document discusses computer graphics and line drawing algorithms. Module 1 covers introduction to graphics hardware, display devices, and graphics software. Module 2 discusses output primitives like lines, circles, ellipses, and clipping algorithms like Cohen-Sutherland and Sutherland-Hodgeman. It then explains the Digital Differential Algorithm (DDA) and Bresenham's line drawing algorithms for scan converting lines. DDA calculates increments in the x or y direction based on the slope. Bresenham's uses only integer calculations. Both algorithms are demonstrated with examples. The document also discusses anti-aliasing techniques like supersampling and area sampling to reduce jagged edges.
This document discusses using calculus to find maximum and minimum values. It provides examples of finding critical points and values to determine optimal solutions for area and surface area problems. For the area problem, the minimum occurs at half the length with equal squares. For the surface area of a box problem, the least surface area occurs when the length is twice the height. The document demonstrates using differentiation and implicit differentiation to solve these types of applied optimization problems.
Numerical integration approximates definite integrals using weighted sums of function values at discretized points. Common integration rules include the rectangular rule, which uses rectangles of width Δx; the trapezoidal rule, which uses trapezoids; and Simpson's rule, which uses a quadratic polynomial to achieve higher accuracy. The document provides examples applying these rules to calculate the integral of f(x)=x^3 from 1 to 2, demonstrating that Simpson's rule provides a perfect estimation while the other rules have some error.
4 figure grid references are used to precisely locate places on maps divided into squares. The first two numbers indicate the easting and represent the column, while the last two numbers indicate the northing and represent the row. For example, the grid reference 1335 would be read as column 13, row 35.
Parametric equations describe the location of a point (x,y) on a graph or path as functions of a single independent variable t, often representing time. They allow complicated motions to be modeled more easily than a single function. Examples are given of using parametric equations to describe motions like a roller coaster path or interacting rabbit and fox populations. Key concepts covered include graphing parametric equations, combining separate horizontal and vertical motions into a single parametric description, and describing linked motions like a carnival ride.
Benginning Calculus Lecture notes 11 - related ratesbasyirstar
This document contains lecture slides on related rates from the Department of Mathematics at FSMT - UPSI. It begins with the learning outcome of solving problems in related rates. Then, it provides two examples - one involving a police radar gun calculating a driver's speed, and another involving calculating the rate of rise of water in a conical tank being filled. Both examples demonstrate setting up and solving related rates problems using differentiation.
This document discusses trigonometric functions such as sine, cosine, and tangent. It defines periodic functions as having repeating patterns, with the period being the length of one full pattern. For sine waves, the period is 2. The amplitude is the maximum vertical deviation from the central axis. Graphs of sine, cosine, and tangent are examined over various domains and their characteristics such as zeroes and asymptotes are explored.
The document discusses trigonometric functions such as sine, cosine, and tangent. It defines periodic functions as having repeating patterns, with the period being the length of one full pattern. For sine waves, the period is 2. The amplitude is the maximum vertical deviation from the central axis. Graphs of sine, cosine, and tangent are examined over various domains and their characteristics such as zeros, domains, ranges, and asymptotes are discussed.
Line Drawing Algorithms - Computer Graphics - NotesOmprakash Chauhan
Straight-line drawing algorithms are based on incremental methods.
In incremental method line starts with a straight point, then some fix incrementable is added to current point to get next point on the line and the same has continued all the end of the line.
The document discusses how to determine if a function is increasing or decreasing based on the sign of its derivative, and provides an example of finding the intervals where a function is increasing or decreasing. It also discusses how to find and classify critical points of a function by taking the derivative, setting it equal to 0, and using the first derivative test to determine if the critical points are local maxima or minima.
The document discusses several common algorithms for computer graphics rendering including Bresenham's line drawing algorithm, the midpoint circle algorithm, and scanline polygon filling. Bresenham's algorithm uses only integer calculations to efficiently draw lines. The midpoint circle algorithm incrementally chooses pixel coordinates to draw circles with eightfold symmetry and without floating point operations. Scanline polygon filling determines the edge intersections on each scanline and fills pixels between interior intersections.
This document discusses various operations on signals using MATLAB coding. It includes summaries of operations such as generating continuous and discrete signals like square waves, triangular waves, time shifting signals, time reversal, using the linearity property, checking for causality and stability, separating signals into even and odd components, multiplying two signals, and generating exponential and sinusoidal discrete signals. MATLAB code is provided for examples of each of these signal operations.
Super-resolution reconstruction is a method for reconstructing higher resolution images from a set of low resolution observations. The sub-pixel differences among different observations of the same scene allow to create higher resolution images with better quality. In the last thirty years, many methods for creating high resolution images have been proposed. However, hardware implementations of such methods are limited. Wiener filter design is one of the techniques we will use initially for this process. Wiener filter design involves matrix inversion. A novel method for the matrix inversion has been proposed in the report. QR decomposition will be the computational algorithm used using Givens Rotation.
Neural network basic and introduction of Deep learningTapas Majumdar
Deep learning tools and techniques can be used to build convolutional neural networks (CNNs). Neural networks learn from observational training data by automatically inferring rules to solve problems. Neural networks use multiple hidden layers of artificial neurons to process input data and produce output. Techniques like backpropagation, cross-entropy cost functions, softmax activations, and regularization help neural networks learn more effectively and avoid issues like overfitting.
A deep learning model using convolutional neural networks is proposed for lithography hotspot detection. The model takes layout clip images as input and outputs a prediction of hotspot or non-hotspot. It uses several convolutional and pooling layers to automatically learn features from the images without manual feature engineering. Evaluation shows the deep learning model achieves higher accuracy than previous shallow learning methods that rely on manually designed features.
Scan conversion algorithms convert graphical primitives defined in terms of coordinates into pixels on a raster display. The midpoint line algorithm uses integer calculations to scan convert lines of varying slopes. Area primitives like rectangles are filled by iterating through pixels within the boundary. Anti-aliasing aims to reduce jagged edges by weighting pixel intensities based on overlap with graphical elements.
1. The document discusses multirate signal processing and the effects of finite word length. It covers topics like downsampling, upsampling, decimation filters, interpolation filters, and aliasing.
2. Finite word length effects cause errors from input quantization, coefficient quantization, and truncated product terms. This results in noise and a reduction in signal-to-noise ratio.
3. With finite precision, systems can exhibit limit cycles where the output assumes a repeating set of values within a "deadband". This emulates instability in continuous systems.
The document discusses techniques for clipping and rasterization in computer graphics. It covers line segment clipping algorithms like Cohen-Sutherland and Liang-Barsky. It also discusses polygon clipping, including brute force, triangulation, and a black box pipeline approach. Finally, it covers rasterization techniques for points, lines, and polygons, including inside-outside testing methods, fill algorithms like flood fill and scanline fill.
JPEG uses DCT, quantization, and entropy coding to provide lossy compression of images. It can operate in several modes, including sequential, lossless, progressive, and hierarchical. Sequential mode encodes an image in a single left-to-right, top-to-bottom scan. Lossless mode uses predictive coding to encode images without loss. Progressive mode transmits an initial coarse version that is progressively improved over multiple transmissions.
JPEG uses DCT, quantization, and entropy coding to provide lossy compression of images. It can operate in several modes, including sequential, lossless, progressive, and hierarchical. Sequential mode encodes the whole image in a single left-to-right, top-to-bottom scan. Lossless mode uses predictive coding to encode images without loss. Progressive mode transmits an initial coarse version that is progressively improved over multiple transmissions.
The document describes various computer graphics output primitives and algorithms for drawing them, including lines, circles, and filled areas. It discusses line drawing algorithms like DDA, Bresenham's, and midpoint circle algorithms. These algorithms use incremental integer calculations to efficiently rasterize primitives by determining the next pixel coordinates without performing floating point calculations at each step. The midpoint circle algorithm in particular uses a "circle function" and incremental updates to its value to determine whether the next pixel is inside or outside the circle boundary.
The document provides legal notices and disclaimers for an Intel presentation. It states that the presentation is for informational purposes only and that Intel makes no warranties. It also notes that Intel technologies' features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration. The document further states that sample source code is released under the Intel Sample Source Code License Agreement and that Intel and its logo are trademarks.
The document discusses image segmentation techniques including thresholding. Thresholding divides an image into foreground and background regions based on pixel intensity values. Global thresholding uses a single threshold value for the entire image, while adaptive or local thresholding uses variable thresholds that change across the image. Multilevel thresholding can extract objects within a specific intensity range using multiple threshold values. The Hough transform is also presented as a way to connect disjointed edge points and detect shapes like lines in an image.
Discrete Convolution에 대해 설명합니다.
- Discrete Convolution은 입력 데이터와 커널(Kernel)을 이용하여 출력 데이터를 계산하는 연산입니다.
- 입력 데이터와 커널의 각 원소를 곱한 후 그 값들을 합하여 출력 데이터의 각 원소 값을 구합니다.
- 이를 통해 입력 데이터의 특징을 추출하고 필터링하는 역할을 합니다.
Pooling의 대표적인 두 가지 방법은 Max Pooling과
The document discusses the Cohen-Sutherland line clipping algorithm. It describes how the algorithm performs initial tests on a line to determine if intersection calculations are needed by checking for trivial acceptance or rejection of line segments. If a line cannot be fully accepted or rejected, it is divided at a clip edge and the process is repeated iteratively until the line is fully processed. An example of applying the algorithm to clip a line against a rectangle is also provided.
The document discusses techniques for designing discrete-time infinite impulse response (IIR) filters from continuous-time filter specifications. It covers the impulse invariance method, matched z-transform method, and bilinear transformation method. The impulse invariance method samples the continuous-time impulse response to obtain the discrete-time impulse response. The bilinear transformation maps the entire s-plane to the unit circle in the z-plane to avoid aliasing. Examples are provided to illustrate the design process using each method.
This document discusses multirate digital signal processing and basic sampling rate alteration devices. It describes up-samplers and down-samplers in the time and frequency domains. Up-samplers increase the sampling rate by inserting zeros, which in the frequency domain causes images of the input spectrum. Down-samplers decrease the sampling rate by selecting samples, which can cause aliasing due to spectrum overlap if the Nyquist criterion is not met. The time-varying and frequency translation properties of up-samplers and down-samplers are illustrated through examples.
This document contains 80 questions related to digital signal and image processing. The questions cover topics such as image transforms, filters, noise, compression, segmentation, and more. Justification is required for some questions, while others involve calculations, derivations or explanations of key concepts. The questions vary in difficulty and mark allocation from 5 to 10 marks. They also specify the exam or year in which the question appeared previously.
Lecture 2.A: Convolutional Networks - Full Stack Deep Learning - Spring 2021Sergey Karayev
The document summarizes key concepts in convolutional neural networks (CNNs). It discusses the convolution operation, including convolutional filters, filter stacks, strides, padding, and filter math. It also covers other common CNN operations like pooling, dilated convolutions, and 1x1 convolutions. Finally, it outlines classic CNN architectures like LeNet, which typically stack convolutional and pooling layers followed by fully connected layers.
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity.
The document summarizes key concepts from a deep learning training, including gradient descent problems and solutions, optimization algorithms like momentum and Adam, overfitting and regularization techniques, and convolutional neural networks (CNNs). Specifically, it discusses gradient vanishing and exploitation issues, activation function and weight initialization improvements, batch normalization, optimization methods, overfitting causes and regularization countermeasures like dropout, and a basic CNN architecture overview including convolution, pooling and fully connected layers.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
Thinking of getting a dog? Be aware that breeds like Pit Bulls, Rottweilers, and German Shepherds can be loyal and dangerous. Proper training and socialization are crucial to preventing aggressive behaviors. Ensure safety by understanding their needs and always supervising interactions. Stay safe, and enjoy your furry friends!
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
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This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
Physiology and chemistry of skin and pigmentation, hairs, scalp, lips and nail, Cleansing cream, Lotions, Face powders, Face packs, Lipsticks, Bath products, soaps and baby product,
Preparation and standardization of the following : Tonic, Bleaches, Dentifrices and Mouth washes & Tooth Pastes, Cosmetics for Nails.
How to Build a Module in Odoo 17 Using the Scaffold MethodCeline George
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.