搜索资源列表
FIRlvboqisheji
- 有关有限脉冲响应滤波器的设计方法的介绍。-For finite impulse response filter design methods introduced.
sinnihewucha
- 有关零相位滤波器的设计介绍，采用无限脉冲响应滤波-For zero-phase filter design introduced with infinite impulse response filter
equalizer_design
- Designs a frequency-domain and time-domain FIR equalizer for a single-input single-output (SISO) channel. Frequency-domain equalization uses a Chebychev criteria and is specified in terms of frequency response functions. It is a conv
fir_chebychev_design
- Designs an FIR filter given a desired frequency response H_des(w). The design is judged by the maximum absolute error (Chebychev norm). This is a convex problem (after sampling it can be formulated as an SOCP). minimize max |H(w) - H_de
fir_lin_phase_lowpass_max_atten
- Designs a linear phase FIR lowpass filter such that it: - minimizes maximum stopband attenuation - has a constraint on the maximum passband ripple This is a convex problem (when sampled it can be represented as an LP). minimize m
fir_lin_phase_lowpass_min_order
- Designs a linear phase FIR lowpass filter such that it: - minimizes the filter order - has a constraint on the maximum passband ripple - has a constraint on the maximum stopband attenuation -This is a quasiconvex problem and can be solved
fir_lin_phase_lowpass_min_ripple
- Designs a linear phase FIR lowpass filter such that it: - minimizes the maximum passband ripple - has a constraint on the maximum stopband attenuation- This is a convex problem. minimize delta s.t. 1/delta <= H(w) &l
Zchange
- 通过MATLAB仿真离散时间系统，研究其时频域特性，加深对离散系统的冲激响应，频率响应分析和零极点分布概念和理解-Discrete-time systems through MATLAB simulation to study the time and frequency domain characteristics to enhance the impulse response of discrete systems, frequency response analysis and zero-
stepTOtrans
- 该M文件的编写将方波响应转化为脉冲响应的程序和将脉冲响应转化为方波。-The preparation of the M file into the square wave response procedures and the impulse response into a square wave pulse response.
FIR-using-bit-serial
- 用bit serial方法设计来有限长冲击响应滤波器，并用FPGA实现验证-Designed to use bit serial finite impulse response filter, and verify with the FPGA implementation
fir_gen
- finite impulse response generator verilog code
fir_lms
- finite impulse response LMS algorithm verilog code
PFC
- 提出了基于有限脉冲响应(FIR)模型的预测函数控制(PFC)算法,给出了采用1个基函数(阶跃函数)和2个基函数(阶跃函数、斜坡函数)的控制律的解析解,分析了闭环系统稳态特性,结果表明,系统对于设定值变化和输出扰动均无余差.结合该算法、T-S模糊建模和自适应控制技术,提出了模糊自适应预测函数控制(FAPFC)策略-Proposed based on finite impulse response (FIR) model predictive functional control (PFC) alg
IIR
- 无限脉冲响应不变法设计低通数字滤波器程序-Design of the same infinite impulse response low-pass digital filter program
FIR-Lab_Notes_4
- Notes on Finite Impulse Response(FIR) Filters
example1_remarkb
- wilson-theta和Newmark-beta求解动力学振动方程,三自由度系统的脉冲响应-wilson-theta and the Newmark-beta to solve the vibration equation of dynamics. three degrees of freedom the system impulse response
fir-c
- fir低通滤波程序，处用冲激响应函数，实现对信号的低通滤波。-fir low-pass filtering process, at the use of impulse response functions, to achieve a low-pass filtering the signal.
code
- LOW-PASS FILTER IMPULSE RESPONSE SIGNAL GENERATION Change N from N=50 to values of N=100, 250, N=500, and N=1000. MATLAB m-scr ipt: lowpass.m -LOW-PASS FILTER IMPULSE RESPONSE SIGNAL GENERATION Change N from N=50 to values of N=100, 250, N=50
pnlmsandmodifiedpnlms
- 由于通常的通信信道的冲激响应的稀疏性，使得NLMS算法的收敛速度还有待提高。所以，近年来，有学者提出了成比例的归一化的均方误差算法(PNLMS)。PNLMS在自适应过程的开始阶段有着很快的收敛的速度，但是迭代过程越往后，收敛速度越慢。于是，众多学者提出了许多的改进算法。本程序是通过matlab仿真对近年来流行的PNLMS,IPNLMS,MPNLMS等算法进行的仿真程序-As usual communication channel impulse response sparse, making t
IIR
- 1、用脉冲响应不变法设计butterwoth及chebyshev数字低通滤波器 2、用双线性变换法设计butterwoth及chebyshev数字低通滤波器 有分析，有结果图-1, the same method with the impulse response digital design butterwoth and chebyshev low-pass filter 2, with the bilinear transform design butterwoth and cheb