Software Defined Radios (SDRs) offer a programmable and dynamically reconfigurable method of reusing hardware to implement the physical layer processing of multiple communications systems. An SDR can dynamically change protocols and update communications systems over the air as a service provider allows. In this paper we discuss a baseband solution for an SDR system and describe a 2Mbps WCDMA design with GSM/GPRS and 802.11b capability that executes all physical layer processing completely in software. We describe the WCDMA communications p rotocols with a focus on latency reduction and unique implementation techniques. We also describe the underlying technology that enables software execution. Our solution is programmed in C and executed on a multithreaded processor in real-time.
Deep neural networks have been applied in many applications exhibiting extraordinary abilities in the field of computer vision. However, complex network architectures challenge efficient real-time deployment and require significant computation resources and energy costs. These challenges can be overcome through optimizations such as network compression. This paper provides a survey on two types of network compression: pruning and quantization. We compare current techniques, analyze their strengths and weaknesses, provide guidance for compressing networks, and discuss possible future compression techniques.
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