{"product_id":"9781598292589","title":"Fixed-Point Signal Processing","description":"\u003cp\u003eMore than 90 percent of signal-processing systems use finite-precision (fixed-point) arithmetic. This is because fixed-point hardware is lower cost and lower power, and often higher speed than floating-point hardware. The advantage of fixed-point hardware in a digital signal processing (DSP) microprocessor ( P) is largely due to the reduced data word size, since fixed-point is practical with 16 bit data, while floating-point usually requires 32 bit data. Field programmable gate arrays (FPGAs) gain similar advantages from fixed-point data word length and have the additional advantage of being customizable to virtually any desired word length. Unfortunately, most academic coursework ignores the unique challenges of fixed-point algorithm design. This text is intended to fill that gap by providing a solid introduction to fixed-point algorithm design. Readers will see both the theory and the application of the theory to useful algorithms.\u003c\/p\u003e","brand":"Morgan \u0026 Claypool Publishers","offers":[{"title":"Default Title","offer_id":47036858040560,"sku":"9781598292589","price":40.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9781598292589_p0.jpg?v=1763814981","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9781598292589","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}