least square dummy variable regression stata
proportionate-type normalized least mean square algorithms
Ngày tải lên :
05/05/2014, 16:43
... offer improved performance
relative to standard algorithms such as the least mean square (LMS) and normalized
least mean square (NLMS) [HAY 02].
Hybrid
Far end User
Near end User
H
Original Signal
Echo ... book
are compared to classic algorithms such as the normalized least mean square (NLMS)
and proportionate normalized least mean square (PNLMS) algorithms.
www.it-ebooks.info
LMS Analysis Techniques ... representations of several PtNLMS algorithms are
presented in further detail.
1.4.1. Proportionate-type least mean square algorithm
The first algorithm we examine is the PtLMS algorithm. Strictly speaking,...
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Báo cáo hóa học: " Research Article A New Method for Least-Squares and Minimax Group-Delay Error Design of Allpass Variable Fractional-Delay Digital Filters" pdf
Ngày tải lên :
21/06/2014, 07:20
... pages
doi:10.1155/2010/976913
Research Article
A New Method for Least- Squares and Minimax Group-Delay
Error Design of Allpass Variable Fractional-Delay Digital Filters
Cheng-Han Chan,
1
Soo-Chang ... only [23]
focuses on the minimization of root-mean-squared group-
delay error by converting a nonlinear optimization problem
to a linear least- squares (LS) optimization problem.
In this paper, ... double-loop iterative method is proposed to design allpass variable fractional-delay (VFD) digital filters basing on the
minimization of root-mean-squared group-delay error. In the inner loop, an iterative...
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Báo cáo hóa học: " Research Article A Two-Stage Approach for Improving the Convergence of Least-Mean-Square Adaptive Decision-Feedback Equalizers in the Presence of Severe " doc
Ngày tải lên :
22/06/2014, 19:20
... edition, 2002.
Arun Batra et al. 13
[12] B. Hassibi, “On the robustness of LMS filters,” in Least- Mean-
Square Adaptive Filters, S. Haykin and B. Widrow, Eds., chap-
ter 4, pp. 105–144, John Wiley ... Beex and J. R. Zeidler, “Steady-state dynamic weight
behavior in (N)LMS adaptive filters,” in Least- Mean -Square
Adaptive Filters, S. Haykin and B. Widrow, Eds., chapter 9, pp.
335–443, John Wiley ... 6, pp. 1570–1579, 1999.
[20] A. A. Beex and J. R. Zeidler, “Non-Wiener effects in recur-
sive least squares adaptation,” in Proceedings of the 17th Inter-
national Symposium on Signal Processing...
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Báo cáo y học: "The Diels-Alder-Reaction with inverse-Electron-Demand, a very efficient versatile Click-Reaction Concept for proper Ligation of variable molecular Partners"
Ngày tải lên :
26/10/2012, 09:39
... inverse-Electron-Demand, a very efficient
versatile Click-Reaction Concept for proper Ligation of variable molecular
Partners
Manfred Wiessler
1
, Waldemar Waldeck
2
, Christian Kliem
1
, Ruediger...
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Báo cáo y học: " A Novel Variable Number of Tandem Repeat of the Natriuretic Peptide Precursor B gene’s 5’-Flanking Region is Associated with Essential Hypertension among Japanese Females"
Ngày tải lên :
26/10/2012, 10:04
... 4(3):146-152
â Ivyspring International Publisher. All rights reserved
Research Paper
A Novel Variable Number of Tandem Repeat of the Natriuretic Peptide
Precursor B gene’s 5’-Flanking Region ... polymorphism method and nucleotide se-
quencing were used to identify variants.
Results: A novel variable number of tandem repeat (VNTR) polymorphism in the 5’-flanking region (-1241 nu-
cleotides ... genetic
marker of EH in females.
Key words: Brain natriuretic peptide, essential hypertension, variable number of tandem repeat, association study
1. Introduction
Natriuretic peptides constitute...
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Dùng genetic programming giải bài toán symbolic regression
Ngày tải lên :
30/10/2012, 17:21
... TOÁN
SYMBOLIC REGRESSION
Trần Ngọc Anh
Khoa Toán Tin
Đề tài nghiên cứu khoa học cấp trường 2006
TÓM TẮT
Trong đề tài này, tác giả tìm hiểu và áp dụng Genetics Programming (GP) giải bài
toán Symbolic Regression ... GP có nhiều ứng dụng quan trọng như lập trình tự động, giải bài toán hồi
quy ký hiệu (Symbolic Regression) .
Phần 2 giới thiệu bài toán SR và mô hình áp dụng GP giải bài toán SR. Phần 3 áp
dụng ... vào độ cao và một lượt dựa
vào độ tốt).
TÀI LIỆU THAM KHẢO
[1] M. Keijzer, “Improving Symbolic Regression with Interval Arithmetic and
Linear Scaling”, Computer Science Department, Free University...
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A low power high dynamic range broadband variable gain amplifier for an ultra wideband receiver
Ngày tải lên :
06/11/2012, 10:26
... of the ADC. Thus, the suitable VGA topology for this
design has to provide at least 1V
pp
linear range with large variable gain range (42dB).
The linear range of the differential pair with diode-connected ... applications, the complementary
differential pairs with source degeneration structure can achieve larger variable gain
range than that of the differential pair with diode-connected loads structure.
(2) ... because it cannot simultaneously satisfy the required
specifications of large bandwidth, large variable gain range, and large linear range
(1V
pp
).
18
together to the next stage. In each...
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Linear Minimum Mean-Square-Error Transceiver Design for Amplify-and-Forward Multiple Antenna Relaying Systems
Ngày tải lên :
20/11/2012, 11:31
... account, for AF MIMO relay systems two robust design algorithms are
proposed to minimize the mean -square- error (MSE) of the output signal at the
destination. One is an iterative algorithm with its ... robust precoder at the relay and
equalizer at the destination is proposed to minimize the total mean -square-
error (MSE) of the output signal at the destination. The optimal designs for
viii
List ... will be jointly designed. Both uplink and downlink
scenarios are considered.
Linear Minimum Mean -Square- Error
Transceiver Design for Amplify-and-Forward
Multiple Antenna Relaying Systems
by
Chengwen...
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Dependent Variable
Ngày tải lên :
17/03/2013, 22:18
... F(5,10) 0.0000
Obs*R-squared 14.80358 Prob. Chi -Square( 5) 0.0112
Scaled explained SS 10.86889 Prob. Chi -Square( 5) 0.0540
Test Equation:
Dependent Variable: RESID^2
Method: Least Squares
Date: 03/16/13 ... F-statistic 0.842961 Prob. F(1,12) 0.3766
Obs*R-squared 1.050176 Prob. Chi -Square( 1) 0.3055
Test Equation:
Dependent Variable: RESID
Method: Least Squares
Date: 03/16/13 Time: 20:23
Sample: 1996 ... Test:
F-statistic 0.387952 Prob. F(2,11) 0.6874
Obs*R-squared 1.054225 Prob. Chi -Square( 2) 0.5903
Test Equation:
Dependent Variable: RESID
Method: Least Squares
Date: 03/16/13 Time: 20:24
Sample: 1996...
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Signal và Variable
Ngày tải lên :
03/10/2013, 04:20
...
theo của mã.
Cú pháp:
VARIABLE name : type [range] [:= init_value];
Ví dụ:
VARIABLE control: BIT := '0';
VARIABLE count: INTEGER RANGE 0 TO 100;
VARIABLE y: STD_LOGIC_VECTOR ...
Bộ đếm 0 - 7
Hình 7.4b.1. Bộ đếm 0 – 7
Cách 1:
Một phép gán VARIABLE đồng bộ được tao ra (dòng 14-15). Một
VARIABLE có thể sinh các thanh ghi bởi vì phép gán của nó (dòng 15) tại ... 1: With a VARIABLE
ENTITY counter IS
PORT ( clk, rst: IN BIT;
count: OUT INTEGER RANGE 0 TO 7);
END counter;
ARCHITECTURE counter OF counter IS
BEGIN
PROCESS (clk, rst)
VARIABLE temp:...
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Regression testing
Ngày tải lên :
03/10/2013, 13:20
... problem with an application and will be entered as a change request.
Regression Round 3
Performance Testing
Regression Round 2
Regression Round 1
Design Review
Architecture Review
Specification ... undiscovered error.
Levels of Unit Testing
ãUNIT
ã100% code coverage
1 Regression Testing
1.1 What is regression Testing
− Regression testing is the process of testing changes to computer programs ... Case Documents Regression Test Case Documents
Functional Specs, Performance Criteria Performance Test Case Documents
Software Requirement Specification, Unit / System /
Integration / Regression...
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