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FDI
- Function direct I Filter Call: [Y,Zf]=FDI(B,A,X,Zi) Parameters A(N), B(M), X(L)and Y(L) as in FILTER. Input Parameters: Zi(max(N,M)-1,2): Conditions iniciales. Zi(:,1): from zeros. Zi(:,2): from polos. Output Parameter
max_min_filter
- 最大最小滤波程序，实现效果很好，用matlab实现，简单好用-max-min filter
satish
- Avetis Ioannisyan avetis@60ateight.com Last Updated: 11/30/05 LMS Channel Adaptation reset randomizers randn( state ,sum(100*clock)) rand( state ,sum(100*clock)) numPoints = 5000 numTaps = 10 channel order Mu = 0
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
max-liklihoodfilter
- Rayleigh maximum likelihood filter for despeckling
max-average-power
- 基于最大平均功率算法的符号定时恢复算法。输入参数：RtfSig过采样的待恢复信号，信号中的N符号总数，dS升采样率，N_T升余弦滚降滤波器系数-Symbol timing recovery algorithm based on maximum average power algorithm. Input parameters: RtfSig be over-sampled signal recovery, the total number of N-symbol signal, the samp