This document provides product specifications for the BLF1820-90 UHF power LDMOS transistor for use in RF power amplifiers in base station applications from 1800 to 2000 MHz. Key features include output power of 90W, power gain of 12dB, and efficiency of 32% at 26V supply voltage and 500mA drain current. Application information includes typical performance curves and a description of a common source test circuit used to measure parameters like power, efficiency, and intermodulation distortion. Pin assignments, package outline, and status of the data sheet are also provided.
The LM124/SA534/LM2902 series consists of four independent, high-gain, internally frequency-compensated operational amplifiers designed specifically to operate from a single power supply over a wide range of voltages.
The LM124/SA534/LM2902 series consists of four independent, high-gain, internally frequency-compensated operational amplifiers designed specifically to operate from a single power supply over a wide range of voltages.
For more information, please feel free to visit the site at the following link: http://www.kynix.com/Detail/6239/IL711T-1E.html. You can choose Kynix as the first place and you can feel free to buy what you need in Kynix at the lower prices.
For more information, please feel free to visit the site at the following link: http://www.kynix.com/Detail/6239/IL711T-1E.html. You can choose Kynix as the first place and you can feel free to buy what you need in Kynix at the lower prices.
Geopolitik dimaknai sebagai ilmu penyelenggaran negara yang setiap kebijakannya dikaitkan dengan masalah-masalah geografi wilayah atau tempat tinggal suatu bangsa. bisa di baca lengkap di slide PPT
Avnet Electronics Marketing presents power devices for solar inverters from STMicroelectronics. Presentation includes: ST 600 vs. SiC diodes, Power MOSFET families, MDmesh series. Choosing the ideal switches for solar inverters and more.
Shenzhen Hifibercom Technology Co.,ltd is a leading communication systems integrator and optical solutions provider.Hifibercom is dedicated to manufacture active optical transceivers and optical fiber cables, offers comprehensive transceivers and optical fiber cable solution including:
Data center: 400G CFP8 / 200G QSFP-DD ,100G QSFP28,56G QSFP+ ,40G QSFP+, 10G SFP+
Transport(OTN,PTN) /FTTX:100G CFP/CFP2/CFP4, 10G SFP+/XFP BIDI/CWDM/DWDM/Tuanable SFP, 1.25G EPON, 10G EPON
Wireless(5G fronthaul,middlehaul and backhaul):25G SFP28, 50G QSFP28 PAM4, 200G CFP2 PAM4
Optical Cable: 10G/25G/40G/100G AOC, 10G/25G/40G/56G/100G/200G DAC, Mini SAS Copper Cable DAC/ Mini SAS Active Optical Cable AOC.
Unleashing the Power of Data_ Choosing a Trusted Analytics Platform.pdfEnterprise Wired
In this guide, we'll explore the key considerations and features to look for when choosing a Trusted analytics platform that meets your organization's needs and delivers actionable intelligence you can trust.
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
2. 2003 Feb 10 2
Philips Semiconductors Product specification
UHF power LDMOS transistor BLF1820-90
FEATURES
• Typical 2-tone performance at a supply voltage of 26 V
and IDQ of 500 mA:
– Output power = 90 W (PEP)
– Gain = 12 dB
– Efficiency = 32%
– dim = −26 dBc
• Easy power control
• Excellent ruggedness
• High power gain
• Excellent thermal stability
• Designed for broadband operation (1800 to 2000 MHz)
• Internally matched for ease of use.
APPLICATIONS
• RF power amplifiers for GSM, EDGE and CDMA base
stations and multicarrier applications in the
1800 to 2000 MHz frequency range.
DESCRIPTION
90 W LDMOS power transistor for base station
applications at frequencies from 1800 to 2000 MHz.
PINNING
PIN DESCRIPTION
1 drain
2 gate
3 source, connected to flange
handbook, halfpage
Top view MBK394
1
2 3
Fig.1 Simplified outline SOT502A.
QUICK REFERENCE DATA
RF performance at Th = 25 °C in a common source test circuit.
LIMITING VALUES
In accordance with the Absolute Maximum Rating System (IEC 60134).
MODE OF OPERATION
f
(MHz)
VDS
(V)
PL
(W)
Gp
(dB)
ηD
(%)
dim
(dBc)
2-tone, class-AB f1 = 2000; f2 = 2000.1 26 90 (PEP) >11 >30 ≤−25
SYMBOL PARAMETER MIN. MAX. UNIT
VDS drain-source voltage − 65 V
VGS gate-source voltage − ±15 V
ID DC drain current − 12 A
Tstg storage temperature −65 +150 °C
Tj junction temperature − 200 °C
CAUTION
This product is supplied in anti-static packing to prevent damage caused by electrostatic discharge during transport
and handling. For further information, refer to Philips specs.: SNW-EQ-608, SNW-FQ-302A and SNW-FQ-302B.
3. 2003 Feb 10 3
Philips Semiconductors Product specification
UHF power LDMOS transistor BLF1820-90
THERMAL CHARACTERISTICS
Note
1. Determined under specified RF operating conditions.
CHARACTERISTICS
Tj = 25 °C unless otherwise specified.
Note
1. The value of capacitance is that of the die only.
SYMBOL PARAMETER CONDITIONS VALUE UNIT
Rth j-h thermal resistance from junction to heatsink Th = 25 °C; note 1 0.81 K/W
SYMBOL PARAMETER CONDITIONS MIN. TYP. MAX. UNIT
V(BR)DSS drain-source breakdown voltage VGS = 0; ID = 2.1 mA 65 − − V
VGSth gate-source threshold voltage VDS = 10 V; ID = 210 mA 4.4 − 5.5 V
IDSS drain-source leakage current VGS = 0; VDS = 26 V − − 15 µA
IDSX on-state drain current VGS =VGSth + 9 V; VDS = 10 V 27 − − A
IGSS gate leakage current VGS = ±15 V; VDS = 0 − − 38 nA
gfs forward transconductance VDS = 10 V; ID = 7.5 A − 6.2 − S
RDSon drain-source on-state resistance VGS = VGSth + 9 V; ID = 7.5 A − 0.1 − Ω
Crss feedback capacitance VGS = 0; VDS = 26 V; f = 1 MHz;
note 1
− 5.1 − pF
4. 2003 Feb 10 4
Philips Semiconductors Product specification
UHF power LDMOS transistor BLF1820-90
APPLICATION INFORMATION
RF performance in a common source class-AB circuit. Th = 25 °C; Rth j-h = 0.81 K/W; unless otherwise specified.
Ruggedness in class-AB operation
The BLF1820-90 is capable of withstanding a load mismatch corresponding to VSWR = 10 : 1 through all phases under
the following conditions: VDS = 26 V; IDQ = 750 mA; PL = 90 W; f = 2000 MHz (single tone).
MODE OF OPERATION
f
(MHz)
VDS
(V)
IDQ
(mA)
PL
(W)
Gp
(dB)
ηD
(%)
dim
(dBc)
Two-tone, class-AB f1 = 2000; f2 = 2000.1 26 750 90 (PEP) >11 >30 ≤−25
handbook, halfpage
15
0 40 120
5
80
PL (W) (PEP)
Gp
(dB)
Gp
ηD
(%)
10
50
0
10
20
30
40
MLD556
ηD
Fig.2 Power gain and drain efficiency as functions
of peak envelope load power; typical
values.
VDS = 26 V; IDQ = 750 mA; Th ≤ 25 °C;
f1 = 2000 MHz; f2 = 2000.1 MHz.
handbook, halfpage
0 40
PL (PEP) (W)
dim
(dBc)
120
0
−20
−60
−80
−40
d3
d5
80
MLD557
d7
VDS = 26 V; IDQ = 750 mA; Th ≤ 25 °C;
f1 = 2000 MHz; f2 = 2000.1 MHz.
Fig.3 Intermodulation distortion products as
functions of peak envelope load power;
typical values.
5. 2003 Feb 10 5
Philips Semiconductors Product specification
UHF power LDMOS transistor BLF1820-90
handbook, halfpage
15
0 40 120
5
80
PL (W)
Gp
(dB)
(1)
(1)
ηD
(%)
10
50
0
10
20
30
40
MLD558
(2)
(2)
(3)
(3)
Fig.4 Power gain and drain efficiency as functions
of average load power; typical values.
VDS = 26 V; IDQ = 750 mA; Th ≤ 25 °C;
f1 = 2000 MHz; f2 = 2000.1 MHz.
(1) IDQ = 600 mA. (2) IDQ = 750 mA. (3) IDQ = 900 mA.
handbook, halfpage
0 40
PL (PEP) (W)
d3
(dBc)
120
0
−20
−60
−80
−40
(1)
(2)
80
MLD559
(3)
Fig.5 Intermodulation distortion products as
functions of peak envelope load power;
typical values.
VDS = 26 V; IDQ = 750 mA; Th ≤ 25 °C;
f1 = 2000 MHz; f2 = 2000.1 MHz.
(1) IDQ = 600 mA. (2) IDQ = 750 mA. (3) IDQ = 900 mA.
handbook, halfpage
1.6 1.8
ri
xi
f (GHz)
Zi
(Ω)
2 2.2
6
4
0
−2
2
MLD560
Fig.6 Input impedance as a function of frequency
(series components); typical values.
VDS = 26 V; IDQ = 750 mA; PL = 90 W; Th ≤ 25 °C.
handbook, halfpage
1.6 1.8
RL
XL
f (GHz)
ZL
(Ω)
2 2.2
4
2
−2
−4
0
MLD561
Fig.7 Load impedance as a function of frequency
(series components); typical values.
VDS = 26 V; IDQ = 750 mA; PL = 90 W; Th ≤ 25 °C.
7. 2003 Feb 10 7
Philips Semiconductors Product specification
UHF power LDMOS transistor BLF1820-90
List of components
See Figs 8 and 9.
Notes
1. American Technical Ceramics type 100B or capacitor of same quality.
2. American Technical Ceramics type 100A or capacitor of same quality.
3. The striplines are on a double copper-clad printed-circuit board with Teflon dielectric (εr = 2.2); thickness 0.79 mm.
COMPONENT DESCRIPTION VALUE DIMENSIONS CATALOGUE NO.
C1, C2, C7, C8 Tekelec variable capacitor; type 37271 0.6 to 4.5 pF
C3, C9 multilayer ceramic chip capacitor; note 1 12 pF
C4, C10 multilayer ceramic chip capacitor; note 2 12 pF
C5, C12, C16 electrolytic capacitor 4.5 µF; 50 V
C6, C11, C15 multilayer ceramic chip capacitor; note 1 1 nF
C13, C17 electrolytic capacitor 100 µF; 63 V 2222 037 58101
C14 multilayer ceramic chip capacitor 100 nF 2222 581 16641
F1 Ferroxcube chip-bead 8DS3/3/8/9-4S2 4330 030 36301
L1 stripline; note 3 50 Ω 2.9 × 2.4 mm
L2 10.8 Ω 4 × 16.3 mm
L3 50 Ω 3.7 × 2.4 mm
L4 6 Ω 2 × 30.8 mm
L5 50 Ω 3.6 × 2.4 mm
L6 9 Ω 3 × 19.9 mm
L7 50 Ω 7.8 × 2.4 mm
L8 18.5 Ω 4 × 8.8 mm
L9 24.4 Ω 5 × 6.3 mm
L10 5.1 Ω 7 × 37 mm
L11 5.1 Ω 7 × 40.9 mm
L12 25.4 Ω 10.1 × 6 mm
L13 5.7 Ω 2.4 × 32.8 mm
L14 25.4 Ω 6.4 × 6 mm
L15 10 Ω 3.5 × 20.7 mm
L16 50 Ω 10.8 × 2.4 mm
L17 11.8 Ω 3 × 7.9 mm
L18 50 Ω 2.3 × 2.4 mm
L19 50 Ω 3 × 2.4 mm
L20 50 Ω 5.5 × 2.4 mm
R1, R2 metal film resistor 10 Ω, 0.6 W 2322 156 11009
8. 2003 Feb 10 8
Philips Semiconductors Product specification
UHF power LDMOS transistor BLF1820-90
handbook, full pagewidth
INPUT
PH990118
OUTPUT
VDSVGS
C5
C6
C7
C8
C9
C10
C11
C14C15
C12
C16
C13
C17
F1
R2
R1
C4
C3
C1C2
INPUT
PH990118 OUTPUT
50
95
50
MGU327
Fig.9 Component layout for 2 GHz class-AB test circuit.
Dimensions in mm.
The components are situated on one side of the copper-clad printed-circuit board with Teflon dielectric (εr = 2.2), thickness 0.79 mm.
The other side is unetched and serves as a ground plane.
9. 2003 Feb 10 9
Philips Semiconductors Product specification
UHF power LDMOS transistor BLF1820-90
PACKAGE OUTLINE
REFERENCESOUTLINE
VERSION
EUROPEAN
PROJECTION
ISSUE DATE
IEC JEDEC JEITA
SOT502A
99-12-28
03-01-10
0 5 10 mm
scale
Flanged LDMOST ceramic package; 2 mounting holes; 2 leads SOT502A
p
L
A
F
b
D
U2H
Q
c
1
3
2
D1
E
A
C
q
U1
C
B
E1
M Mw2
UNIT A
mm
Db
12.83
12.57
0.15
0.08
20.02
19.61
9.53
9.25
19.94
18.92
9.91
9.65
4.72
3.43
c U2
0.25 0.5127.94
q w2w1F
1.14
0.89
U1
34.16
33.91
L
5.33
4.32
p
3.38
3.12
Q
1.70
1.45
E E1
9.50
9.30
inches
0.505
0.495
0.006
0.003
0.788
0.772
D1
19.96
19.66
0.786
0.774
0.375
0.364
0.785
0.745
0.390
0.380
0.186
0.135
0.01 0.021.100
0.045
0.035
1.345
1.335
0.210
0.170
0.133
0.123
0.067
0.057
0.374
0.366
H
DIMENSIONS (millimetre dimensions are derived from the original inch dimensions)
w1 A BM M M
10. 2003 Feb 10 10
Philips Semiconductors Product specification
UHF power LDMOS transistor BLF1820-90
DATA SHEET STATUS
Notes
1. Please consult the most recently issued data sheet before initiating or completing a design.
2. The product status of the device(s) described in this data sheet may have changed since this data sheet was
published. The latest information is available on the Internet at URL http://www.semiconductors.philips.com.
3. For data sheets describing multiple type numbers, the highest-level product status determines the data sheet status.
LEVEL
DATA SHEET
STATUS(1)
PRODUCT
STATUS(2)(3) DEFINITION
I Objective data Development This data sheet contains data from the objective specification for product
development. Philips Semiconductors reserves the right to change the
specification in any manner without notice.
II Preliminary data Qualification This data sheet contains data from the preliminary specification.
Supplementary data will be published at a later date. Philips
Semiconductors reserves the right to change the specification without
notice, in order to improve the design and supply the best possible
product.
III Product data Production This data sheet contains data from the product specification. Philips
Semiconductors reserves the right to make changes at any time in order
to improve the design, manufacturing and supply. Relevant changes will
be communicated via a Customer Product/Process Change Notification
(CPCN).
DEFINITIONS
Short-form specification The data in a short-form
specification is extracted from a full data sheet with the
same type number and title. For detailed information see
the relevant data sheet or data handbook.
Limiting values definition Limiting values given are in
accordance with the Absolute Maximum Rating System
(IEC 60134). Stress above one or more of the limiting
values may cause permanent damage to the device.
These are stress ratings only and operation of the device
at these or at any other conditions above those given in the
Characteristics sections of the specification is not implied.
Exposure to limiting values for extended periods may
affect device reliability.
Application information Applications that are
described herein for any of these products are for
illustrative purposes only. Philips Semiconductors make
no representation or warranty that such applications will be
suitable for the specified use without further testing or
modification.
DISCLAIMERS
Life support applications These products are not
designed for use in life support appliances, devices, or
systems where malfunction of these products can
reasonably be expected to result in personal injury. Philips
Semiconductors customers using or selling these products
for use in such applications do so at their own risk and
agree to fully indemnify Philips Semiconductors for any
damages resulting from such application.
Right to make changes Philips Semiconductors
reserves the right to make changes in the products -
including circuits, standard cells, and/or software -
described or contained herein in order to improve design
and/or performance. When the product is in full production
(status ‘Production’), relevant changes will be
communicated via a Customer Product/Process Change
Notification (CPCN). Philips Semiconductors assumes no
responsibility or liability for the use of any of these
products, conveys no licence or title under any patent,
copyright, or mask work right to these products, and
makes no representations or warranties that these
products are free from patent, copyright, or mask work
right infringement, unless otherwise specified.
11. 2003 Feb 10 11
Philips Semiconductors Product specification
UHF power LDMOS transistor BLF1820-90
NOTES