Signal Conditioning

At the centre of every sensor interface lies the crucial signal conditioning and digital signal processing functions that convert, manipulate and process the analogue signals to a useable level and format. Working closely with our customers to assess and then deliver the optimum architecture for their application, Swindon has extensive IP in everything from high resolution ADCs and DACs, all types of memory through to ARM Cortex processors.

Swindon will optimise your design for performance, size and cost providing you both a technical and commercial competitive advantage.

Full range of signal processing IP

Swindon’s 5 decades of experience has resulted in a vast array of relevant IP that can be used to provide you with the signal conditioning parameters that you require. Along this we also make use of foundry IP and supplied IP in order to reduce development times while maximising performance.

Analogue design is one of Swindon’s primary areas of expertise.

With the development of many analog IP blocks our proven design covers many areas such as Analogue to Digital Convertors (ADC), Digital to Analogue Convertors (DAC), Amplifiers (OP Amps, TIA, LNA, VGA etc), Synthesizers, Voltage Regulators and Convertors (many different architectures), Voltage Controlled Oscillators (VCO’s), Constant Current Generator, Filters and Signal Conditioning to name but a few.

Low power design

Swindon has a long and successful history in ultra-low power (nA) mixed signal ASIC design and supply with some of our automotive designs achieving a ten year operating life while being supplied from a coin cell battery and transmitting RF data to a receiver in the car. This ultra-low power capability is also seen in our industrial ASICs with sensor interfaces designed to operate with only a few mW power consumption.

Custom IC Builder

 IC Builder is a new way for designers to visualise what their mixed signal ASIC and MEMS solution may look like for their application.

Click by click,  progressively add the functions required for your intelligent sensing application and see what your resulting package could look like. 

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