Either BCLK or MCLK can be used as the internal clock source providing system level flexibility.
The PCM interface supports I 2S, left-justified, and 16-channel TDM formats as a slave or master device with I 2C control.
Integrated IV sense and Dynamic Speaker Management allows louder, fuller audio while protecting the speaker against damage and improving sound quality. The boosted supply efficiently delivers up to 6.2W at 10% THD+N into a 4Ω load. The boost converter supports bypass mode for lower quiescent current and improved mid-power efficiency as well as envelope tracking which automatically adjusts the output voltage for maximum efficiency. The maximum boost converter output voltage is programmable from 6.5V to 10V in 0.125V increments from a battery voltage as low as 2.65V. The MAX98390 is a high-efficiency mono Class-D DSM smart amplifier that features an integrated boost converter, integrated Dynamic Speaker Management ™, and FET scaling for higher-efficiency at low output power.
Time-Series Data Processing: Heart Rate/Health Signal Analysis, Multi-Sensor Analysis, Predictive Maintenance. Audio Processing: Multi-Keyword Recognition, Sound Classification, Noise Cancellation. The device is available in a 81-pin CTBGA (8mm x 8mm, 0.8mm pitch) package. Multiple high-speed and low-power communications interfaces are supported, including I 2S and a parallel camera interface (PCIF). In addition to the memory in the CNN engine, the MAX78000 has large on-chip system memory for the microcontroller core, with 512KB flash and up to 128KB SRAM. The CNN architecture is highly flexible, allowing networks to be trained in conventional toolsets like PyTorch ® and TensorFlow ®, then converted for execution on the MAX78000 using tools provided by Maxim. The CNN engine also has 512KB of data memory. The CNN weight memory is SRAM-based, so AI network updates can be made on the fly. The CNN engine has a weight storage memory of 442KB, and can support 1-, 2-, 4-, and 8-bit weights (supporting networks of up to 3.5 million weights). The MAX78000 is an advanced system-on-chip featuring an Arm ® Cortex ®-M4 with FPU CPU for efficient system control with an ultra-low-power deep neural network accelerator. Hardware-based convolutional neural network (CNN) accelerator enables battery-powered applications to execute AI inferences while spending only microjoules of energy. This product combines the most energy-efficient AI processing with Maxim's proven ultra-low power microcontrollers. The MAX78000 is a new breed of AI microcontroller built to enable neural networks to execute at ultra-low power and live at the edge of the IoT. Artificial intelligence (AI) requires extreme computational horsepower, but Maxim is cutting the power cord from AI insights.
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