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. A new FPGA has been released recently (Xilinx 7-series) by the name of Xilinx XST, which supports 32-bit integer arithmetics.
XST can be converted to a FPGA using the convertor from the Xilinx website, and I have successfully done so. The issue is that I then have a 32-bit.
When it comes to DSP, there is a lot of interesting possibilities to gain increased performance and efficiency in terms of product cost and memory requirements. By learning the best way to design a very efficient DSP and how to optimize it for the product that you are designing, you are able to reduce costs and cut out unnecessary modules.
Read on to learn the best way to design DSPs with in-depth examples and real life experiences.
The vBurst - the perfect DSP powerhouse
You may be thinking "why is the DSP I am designing not a processor like the ARM, but a general purpose processor"? I am going to address that in my first post, but you are going to be able to get much more out of the chip if you are familiar with ARM processors first.
When you are designing a DSP, you often have the requirement to add an array of data. This is often done using a large number of variables and arrays. This makes it very convenient to add an array of numbers or a lookup table.
However, when you do this, you do not want to just copy the data over and over again, as it is slow and space-consuming. For this you want to use a memory-efficient alternative called a lookup table.
Most DSPs have a lot of data to handle, often over 1000 times the data capacity of a standard RAM. To handle the processing of this huge amount of data, the DSP will create a memory structure called a data memory block, which is used to store the data to be processed.
When you create a lookup table, this is often referred to as the Lookup Memory. This is an array of addresses which point to the address in the data memory block. The lookups are stored as a 256-bit word and the idea is to write the bit pattern into a specific word address in the lookup memory. This makes it a lot more space-efficient and also easy to read.
Once you have your lookup table, the next step is to write a process to read this data and process it. A process usually involves reading a specific amount of data from the lookup table, and doing some kind of calculation with it.
After the data is processed, it is then written back into the lookup table again. This is so that it can be read again for the next process.