The Infineon TriCore provides an Interrupt System with a high safety standard. Thisdocument contains some instructions on how to initiate an Interrupt from an externaldevice. First it will show you how to trigger an Interrupt Service Request by an Impulseon Port 0 or Port 1. Then in the second part of the document you can find hints how todebounce Impulses to enable the use of a simple switch as input device.Authors: Thomas Bliem, CQ Nguyen / Infineon SMI MD Apps
基于simulink的uwb仿真
uwb.mdl: UWB model - open this to begin.
uwb_lib.mdl: Library blocks for UWB model.
uwb_init.m: Initialization called before model is loaded.
uwb_settings: Sets up structure containing system parameters ( uwb in workspace).
uwb_imr.m: Initializes UWB channel Impulse response.
uwb_sv_*.m: Four M-files used to generate channel Impulse responses (MAT files).
超寬帶UWB,包括:uwb.mdl: UWB model - open this to begin.
uwb_lib.mdl: Library blocks for UWB model.
uwb_init.m: Initialization called before model is loaded.
uwb_settings: Sets up structure containing system parameters ( uwb in workspace).
uwb_imr.m: Initializes UWB channel Impulse response.
uwb_sv_*.m: Four M-files used to generate channel Impulse responses (MAT files).
The Window Design Method
The basic idea behind the design of linear-phase FIR filters using the window
method is to choose a proper ideal frequency-selective filter [which always has
a noncausal, infinite duration Impulse response] and then truncate its Impulse
response hd[n] to obtain a linear-phase and causal FIR filter h[n]. To truncate the
Impulse response of the ideal filter a time window w[n] is used. Available windows
in Matlab are rectangular [or boxcar in Matlab], bartlett, hamming, hanning
In this program, several statistical fading channel simulators using the Sum-of-Sinusoids (SoS)has been implemented.A Rayleigh fading channel Impulse respose using jakes model has been generated in matlab
The Hilbert Transform is an important component in communication systems, e.g. for single sideband modulation/demodulation, amplitude and phase detection, etc. It can be formulated as filtering operation which makes it possible to approximate the Hilbert Transform with a digital filter. Due to the non-causal and infinite Impulse response of that filter, it is not that easy to get a good approximation with low hardware resource usage. Therefore, different filters with different complexities have been implemented.
The detailed discussion can be found in "Digital Hilbert Transformers or FPGA-based Phase-Locked Loops" (http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4629940).
The design is fully pipelined for maximum throughput.
