产生的DSP滤波器系数中的C / Java进行时域卷积 [英] Generating DSP filter coefficients in C/Java for time-domain convolution

问题描述

我写一个智能手机（Android设备，iPhone）的应用程序，做一些DSP。我是一个有经验的程序员。我也采取的一项本科EE类DSP和知道如何使用Matlab的。

I am writing a smartphone (Android, iPhone) application that does some DSP. I am an experienced programmer. I've also taken one undergraduate EE class in DSP and know how to use Matlab.

我想低通和带通滤波器适用于我的时域信号。从我的理解，我要履行我的时域采样和滤波系数的卷积。在Matlab中，我将使用FIR1（）函数来获得滤波器系数和CONV（）/过滤器（）函数应用卷积。

I would like to apply low pass and band pass filters to my time-domain signal. From my understanding, I need to perform convolution of my time-domain samples and filter coefficients. In Matlab, I would use the fir1() function to get the filter coefficients and the conv()/filter() functions to apply the convolution.

我知道如何用Java编写/ C卷积功能，但我不知道如何生成的滤波器系数。我知道，对于低通滤波器，系数来自sinc函数，和带通滤波器基本上是一个移低通滤波器。 如何编程生成这些系数？

I know how to write the convolution function in Java/C, but I don't know how to generate the filter coefficients. I know that for the low-pass filter, the coefficients come from a sinc function, and the bandpass filter is basically a shifted low-pass filter. How can I programmatically generate these coefficients?

推荐答案

有$ C $下产生了使用窗口型正弦方法的相对=nofollow>。在code为约10行老式的基本的，但应该是平凡转换为C或Java。如果你想重新获得了code有该网页上的说明。

There is code for generating FIR coefficients for low-pass and band-pass filters using the windowed-sinc method on the nicholson.com dsp web page. The code is about 10 lines of old-fashioned Basic, but should be trivially convertible to C or Java. There is an explanation on that page if you want to re-derive the code.

艺术，采用窗口型正弦的时候，是选择的最佳窗口。更现代的方法，只需要较少的猜测工作，是使用雷米兹交换算法生成从规格的过滤器

The art, when using a windowed-sinc, is in choosing the best window. The more modern method, that requires less guess-work, is to use the Remez-exchange algorithm to generate the filter from specs.

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