Abstract. In modern communication systems, filtering is the most common and extremely important signal processing technology, it is an effective method of interference suppression, and the design of filter has become the core issues of the signal processing. Generally speaking, filter can be divided into analog filter and digital filter. Today, the development of analog filter has been more mature. However, digital filter has many advantages, such as higher stability, higher precision. With the development of digital technology, using digital technology to realize filter function is widely used. Then this paper analyzes the design principle of digital filter, and introduced the impulse invariance method and window function method. This paper presents a new design of a effective IIR filter, which realized via two methods. MATLAB is a popular numerical analysis software, providing a wealth of design tool. A MATLAB-based digital filter design procedure designs the filter, and mainly analyzes the 5-order IIR filter, which is designed using Simulink. Through the MATLAB visualization procedures given the frequency characteristic curve, comparing the simulation results. It has the high practical value.
[1]
Izzet Kale,et al.
DSP System Design: Complexity Reduced IIR Filter Implementation for Practical Applications
,
2003
.
[2]
Jong-Sik Lim,et al.
Design of low-pass filters using defected ground structure
,
2005,
IEEE Transactions on Microwave Theory and Techniques.
[3]
Ngai Wong,et al.
IIR Approximation of FIR Filters Via Discrete-Time Vector Fitting
,
2008,
IEEE Transactions on Signal Processing.
[4]
Behrouz Farhang-Boroujeny,et al.
A Square-Root Nyquist (M) Filter Design for Digital Communication Systems
,
2008,
IEEE Transactions on Signal Processing.
[5]
Zhang Jie.
Optimized FIR Filter Design Based on Self-adaptive Genetic Algorithm
,
2010
.
[6]
Laurent Fesquet,et al.
IIR digital filtering of non-uniformly sampled signals via state representation
,
2010,
Signal Process..
[7]
Zeng Yi-chen,et al.
A Complexity Reduction Approach for FIR Notch Filter Design
,
2011
.